{"id":2489879,"url":"https://alion.io/job/bpd-healthcare-ai-engineer","title":"AI Engineer","company":{"id":2605146,"name":"BPD Healthcare","domain":"bpdhealthcare.com","url":"https://alion.io/company/bpdhealthcare","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boca Raton, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":201000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"JavaScript","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"n8n","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Anthropic","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Google Drive","optional":true},{"name":"HIPAA","optional":true},{"name":"Hybrid Search","optional":true},{"name":"LangChain","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-08-14T17:19:38Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-21T16:54:34Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Our offices in Boca Raton, FL and Nashville, TN are where we come together for collaboration, education, and celebrations, and we’re looking for teammates who can join us in person for those meaningful moments.\nReports to: VP, Data Products & Technology\nYears Experience: 2-4 Years\nDepartment: Data Solutions & Analytics\nThe Position:\nWe're hiring a mid-level AI Engineer to help build and scale the AI systems behind Violet and our broader analytics platform called ThirdBase. You'll work hands-on with large language models, retrieval systems, and healthcare data- building features that turn a governed warehouse of claims, referrals, HCP engagement, and campaign performance into trustworthy, compliant, natural-language analytics. You'll own well-defined components end-to-end and grow into larger systems, with support from senior engineers and clear technical direction.\nThe Responsibilities:\nIncludes, but not limited to the following:\nBuild and improve LLM-powered analytics features - agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data.\nContribute to text-to-SQL and semantic-layer systems that let non-technical users query complex healthcare datasets accurately and safely.\nDevelop retrieval pipelines over document stores (vector search, hybrid keyword + semantic).\nImplement evaluation, guardrails, and hallucination checks - accuracy on domain data is non-negotiable in healthcare.\nHelp enforce data-governance and compliance controls in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls).\nIntegrate multiple tools and data sources (warehouse, campaign platforms, web, document repositories) into agent workflows.\nDeploy and maintain services on AWS, and monitor model performance, latency, and cost.\nCollaborate with product, analytics, and senior engineers to translate requirements into shipped features.\nThe Essentials:\nRequired\n2-4 years building production software, including some hands-on experience with LLM/GenAI applications (RAG, agents, or text-to-SQL) - through work, internships, or substantial personal projects.\nSolid Python and SQL; comfort querying a cloud data warehouse (Snowflake a plus).\nWorking knowledge of AWS and deploying services in the cloud.\nSubstantive experience in LangGraph, CrewAI, n8n, or other agentic frameworks\nExperience in AI-assisted coding and CICD processes. \nFamiliarity working with Node, React, or other javascript frameworks\nExposure to retrieval systems, embeddings, or vector search.\nExperiments-driven design using evaluation harnesses for change management\nUnderstanding of prompt engineering and LLM guardrails - a sense of how to make model outputs reliable, not just functional.\nAwareness of data privacy and compliance basics and willingness to build to them.\nAbility to own a feature or component end-to-end and collaborate across a team.\nNice to Have\nAny experience with healthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another regulated data domain.\nFamiliarity with HIPAA / PHI-PII constraints or de-identified / derived-insights data models.\nExposure to agent orchestration frameworks and multi-tool workflows.\nBasic MLOps/LLMOps: monitoring, cost/latency optimization.\nBackground in analytics, BI, or data engineering.\nCore Tech Stack:\n Cloud: AWS (e.g., Lambda, S3, ECS/Fargate, API Gateway)\n Data warehouse: Snowflake (SQL, semantic layers)\n Languages: Python (primary), SQL\n AI/ML: LLMs (OpenAI/Anthropic-class models, incl. Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use, skills\nData domains: healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement, campaign/media performance, survey/primary research\nData & document tooling: vector databases, hybrid search, integrations with platforms like Egnyte and Google Drive\nAnalytics libraries: pandas and modern data-analysis/plotting tooling\nGovernance: compliance-aware data access, PII/PHI handling, source citation\nThe Vision:\nBPD Health is the strategic growth partner trusted by the most ambitious brands in health. Purpose-built for health brands, health systems, pharmaceutical companies and healthcare innovators, we help organizations grow by connecting market position, team engagement, physician referrals, patient demand, payer relations and community impact into one coordinated growth system. As part of MJH Life Sciences, we give clients direct access to the largest physician engagement network in the U.S.\n\nUnified BPD unites our diverse backgrounds and perspectives into a stronger collective-one that fosters a more inclusive, impactful future for our people, our clients, and healthcare as a whole. Guided by ongoing reflection and learning, we respect every race, ethnicity, gender expression, sexual identity, ability, and life experience.\nAs BPDerrrs, we:\nCelebrate and value what makes each of us unique;\nUnite around our shared purpose to ignite greatness in those we serve and, by extension, help them improve the health to the communities they serve;\nLead through inclusive work that authentically connects with all consumers and champions health equity for all\n Lean into honest dialogue, acknowledging that building a diverse workforce, fostering belonging, and creating the best, most inclusive work for our clients and their communities is an ongoing journey.\nThis commitment ignites our organization’s greatness and grounds the brilliant work we do for our clients and communities.\nBPD is proud to be an Equal Opportunity employer. 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